Jada Godfrey-Ariavie

I've built Project IRIS, an AI-powered assistive-glasses system that combines computer vision, microcontrollers, proximity sensors, and haptic and audio feedback to support spatial navigation for visually impaired users. As part of Team Vhorde at the University of Benin, I contributed to a NEO 2026 National Finalist project and research on deploying vision-language models on Hailo AI HAT hardware.

My independent and institutional research includes TensorFlow and Keras image-classification pipelines, rainfall forecasting with Python and Scikit-learn, and oil-palm yield forecasting for the Nigerian Institute for Oil Palm Research using SARIMA and Random Forest. I focus on reproducible evaluation, feature engineering, model optimization, and turning complex datasets into planning insights.

At NNPC, I built and deployed a centralized digital records management system that eliminated manual filing and achieved 100% filing accuracy across the division. I bring a Mechatronics Engineering background spanning embedded systems, robotics, data acquisition, machine learning, and industrial operations.